AI Deep Learning Workloads Demand A New Approach To Infrastructure

GPUs Dominate Now, But A Broader Landscape Of AI Chips And Systems Is Evolving Quickly

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Why Read This Report

One breakthrough of AI is deep learning: a branch of machine learning that can uncannily identify objects in images, recognize voices, and create other predictive models by analyzing enterprise data. Deep learning can use regular CPUs, but for serious enterprise projects, data science teams must use AI chips such as GPUs that can handle massively parallel workloads to more quickly train and retrain models on large data sets. This report will help I&O professionals understand their AI infrastructure options — chips, systems, and cloud — to execute on deep learning.

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